Correlation Between CVP and Band Protocol
Can any of the company-specific risk be diversified away by investing in both CVP and Band Protocol at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining CVP and Band Protocol into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CVP and Band Protocol, you can compare the effects of market volatilities on CVP and Band Protocol and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in CVP with a short position of Band Protocol. Check out your portfolio center. Please also check ongoing floating volatility patterns of CVP and Band Protocol.
Diversification Opportunities for CVP and Band Protocol
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between CVP and Band is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding CVP and Band Protocol in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Band Protocol and CVP is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on CVP are associated (or correlated) with Band Protocol. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Band Protocol has no effect on the direction of CVP i.e., CVP and Band Protocol go up and down completely randomly.
Pair Corralation between CVP and Band Protocol
Assuming the 90 days trading horizon CVP is expected to generate 14.34 times more return on investment than Band Protocol. However, CVP is 14.34 times more volatile than Band Protocol. It trades about 0.15 of its potential returns per unit of risk. Band Protocol is currently generating about 0.19 per unit of risk. If you would invest 3.11 in CVP on September 1, 2024 and sell it today you would earn a total of 10.89 from holding CVP or generate 350.16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
CVP vs. Band Protocol
Performance |
Timeline |
CVP |
Band Protocol |
CVP and Band Protocol Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CVP and Band Protocol
The main advantage of trading using opposite CVP and Band Protocol positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CVP position performs unexpectedly, Band Protocol can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Band Protocol will offset losses from the drop in Band Protocol's long position.The idea behind CVP and Band Protocol pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Band Protocol vs. Staked Ether | Band Protocol vs. EigenLayer | Band Protocol vs. EOSDAC | Band Protocol vs. BLZ |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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